metadata

license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - squad
model-index:
  - name: bert-base-uncased-squad-v1-jpqd-ov-int8
    results: []

bert-base-uncased-squad-v1-jpqd-ov-int8

This model is a fine-tuned version of bert-base-uncased on the squad dataset. It was compressed using NNCF with Optimum Intel following the JPQD question-answering example.

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 3e-05
train_batch_size: 16
eval_batch_size: 128
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 8.0
mixed_precision_training: Native AMP

Training results

***** eval metrics *****
  epoch            =     8.0
  eval_exact_match =  83.141
  eval_f1          = 89.5906
  eval_samples     =   10784

Framework versions

Transformers 4.26.1
Pytorch 1.13.1+cu117
Datasets 2.8.0
Tokenizers 0.13.2